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authorId(s): 52193502
Author(s): Mitchell Wortsman
scorecitationCountPaperAuthorsyearMore like thisCompare & ContrastProNE-sSciNCLSpecterGNN
2471
LAION-5B: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, ..., J. Jitsev
2022
717
Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time
Mitchell Wortsman, Gabriel Ilharco, ..., Ludwig Schmidt
2022
575
Robust fine-tuning of zero-shot models
Mitchell Wortsman, Gabriel Ilharco, ..., Ludwig Schmidt
2021
518
Reproducible Scaling Laws for Contrastive Language-Image Learning
Mehdi Cherti, Romain Beaumont, ..., J. Jitsev
2022
322
What’s Hidden in a Randomly Weighted Neural Network?
Vivek Ramanujan, Mitchell Wortsman, ..., Mohammad Rastegari
2019
297
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models
Anas Awadalla, Irena Gao, ..., Ludwig Schmidt
2023
280
Editing Models with Task Arithmetic
Gabriel Ilharco, Marco Tulio Ribeiro, ..., Ali Farhadi
2022
274
DataComp: In search of the next generation of multimodal datasets
S. Gadre, Gabriel Ilharco, ..., Ludwig Schmidt
2023
252
Supermasks in Superposition
Mitchell Wortsman, Vivek Ramanujan, ..., Ali Farhadi
2020
219
Soft Threshold Weight Reparameterization for Learnable Sparsity
Aditya Kusupati, Vivek Ramanujan, ..., Ali Farhadi
2020

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